Graph reinforcement learning for flexible job shop scheduling under industrial demand response: A production and energy nexus perspective-Reference-Cited by-同舟云学术

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Graph reinforcement learning for flexible job shop scheduling under industrial demand response: A production and energy nexus perspective

Published:2024-07 Issue: Volume:193 Page:110325
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Rui Zhangjie^ORCID,Zhang Xi^ORCID,Liu Mingzhou,Ling Lin,Wang Xiaoqiao,Liu Conghu^ORCID,Sun Mengyuan

Publisher

Elsevier BV

Reference49 articles.

1. A metric-based framework for sustainable production scheduling;Abedini;Journal of Manufacturing Systems,2020

2. An energy-efficient collaborative strategy of maintenance planning and production scheduling for serial-parallel systems under time-of-use tariffs;An;Applied Energy,2023

3. Mid-term energy cost-oriented flow shop scheduling: Integration of electricity price forecasts, modeling, and solution procedures;Busse;Computers & Industrial Engineering,2022

4. Data of electricity consumption (jan to dec 2022);CEC,2023

5. Bi-criteria single-machine batch scheduling with machine on/off switching under time-of-use tariffs;Cheng;Computers & Industrial Engineering,2017

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